The direct and indirect pathways of the basal ganglia antagonistically influence cortical activity and perceptual decisions DOI Creative Commons
Enny H. van Beest,

Mohammed A.O. Abdelwahab,

J. Leonie Cazemier

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(9), P. 110753 - 110753

Published: Aug. 23, 2024

Highlights•The direct and indirect pathways have antagonistic effects on perceptual decisions•Direct pathway stimulation increases neuronal activity in the dorsal cortex•The striatum influences cortical representations of working memoriesSummaryThe striatum, main input nucleus basal ganglia, receives topographically organized from cortex gives rise to output pathways, which ganglia directed cortex. We optogenetically stimulated a visual memory task mice that responded by licking. Unilateral increased probability lick responses toward contralateral, non-stimulated side globally. In contrast, decreased hemisphere. Moreover, enhanced neural representation contralateral stimulus during delay task, whereas had opposite effect. Our results demonstrate how these two influence decisions modify cortex.Graphical abstract

Language: Английский

Brain-wide neural activity underlying memory-guided movement DOI Creative Commons
Susu Chen, Yi Liu,

Ziyue Wang

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(3), P. 676 - 691.e16

Published: Feb. 1, 2024

Behavior relies on activity in structured neural circuits that are distributed across the brain, but most experiments probe neurons a single area at time. Using multiple Neuropixels probes, we recorded from multi-regional loops connected to anterior lateral motor cortex (ALM), circuit node mediating memory-guided directional licking. Neurons encoding sensory stimuli, choices, and actions were brain. However, choice coding was concentrated ALM subcortical areas receiving input an ALM-dependent manner. Diverse orofacial movements encoded hindbrain; midbrain; and, lesser extent, forebrain. Choice signals first detected midbrain, followed by thalamus other brain areas. At movement initiation, choice-selective collapsed new patterns driving specific actions. Our provide foundation for models of decision-making initiation.

Language: Английский

Citations

37

Cross-hemispheric communication: Insights on lateralized brain functions DOI
Sebastian Ocklenburg, Zengcai V. Guo

Neuron, Journal Year: 2024, Volume and Issue: 112(8), P. 1222 - 1234

Published: March 7, 2024

Language: Английский

Citations

18

MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia DOI Creative Commons
Haiyuan Wang,

Runlin Peng,

Yuanyuan Huang

et al.

Brain Research Bulletin, Journal Year: 2025, Volume and Issue: 221, P. 111199 - 111199

Published: Jan. 7, 2025

The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses schizophrenia, but most these studies ignored cooperative interactions and topological attributes networks. In this study, we constructed three types brain graphs (BGs), gut (GGs), nine brain-gut combined (BGCGs) for each individual. We proposed a novel graph convolutional network (MO-GCN) an attention mechanism to construct classification model by integrating all BGCGs. also identified important features using Topk pooling layer analyzed their correlations Positive Negative Syndrome Scale (PANSS) MATRICS Consensus Cognitive Battery (MCCB) scores. results showed that MO-GCN BGCGs outperformed GCN models either BGs or GGs. particular, accuracy best 5-fold cross-validation reached 84.0%. Interpretability analysis revealed top 10 were primarily from hippocampus, olfactory, fusiform pallidum, which involved systems memory, emotion. Dorea, Ruminococcus, Subdoligranulum Clostridium, etc. Moreover, significantly correlated PANSS MCCB scores, respectively. conclusion, can effectively improve performance provide potential microbiota-brain perspective understanding schizophrenia.

Language: Английский

Citations

2

Neural Algorithms and Circuits for Motor Planning DOI
H. Inagaki, Susu Chen, Kayvon Daie

et al.

Annual Review of Neuroscience, Journal Year: 2022, Volume and Issue: 45(1), P. 249 - 271

Published: March 22, 2022

The brain plans and executes volitional movements. underlying patterns of neural population activity have been explored in the context movements eyes, limbs, tongue, head nonhuman primates rodents. How do networks neurons produce slow dynamics that prepare specific fast ultimately initiate these movements? Recent work exploits rapid calibrated perturbations to test dynamical systems models are capable producing observed activity. These joint experimental computational studies show cortical during motor planning reflect fixed points (attractors). Subcortical control signals reshape move attractors over multiple timescales, causing commitment actions transitions movement execution. Experiments rodents beginning reveal how algorithms implemented at level brain-wide circuits.

Language: Английский

Citations

57

Thalamus-driven functional populations in frontal cortex support decision-making DOI Creative Commons
Weiguo Yang,

Sri Laasya Tipparaju,

Guang Chen

et al.

Nature Neuroscience, Journal Year: 2022, Volume and Issue: 25(10), P. 1339 - 1352

Published: Sept. 28, 2022

Neurons in frontal cortex exhibit diverse selectivity representing sensory, motor and cognitive variables during decision-making. The neural circuit basis for this complex remains unclear. We examined activity mediating a tactile decision mouse anterior lateral relation to the underlying circuits. Contrary notion of randomly mixed selectivity, an analysis 20,000 neurons revealed organized coding behavior. Individual exhibited prototypical response profiles that were repeatable across mice. Stimulus, choice action coded nonrandomly by distinct neuronal populations could be delineated their profiles. related long-range inputs from somatosensory cortex, contralateral thalamus. Each input connects all functional but with differing strength. Task was more strongly dependent on thalamic than cortico-cortical inputs. Our results suggest thalamus drives subnetworks within features

Language: Английский

Citations

48

Brain-wide dynamics linking sensation to action during decision-making DOI Creative Commons
Andrei Khilkevich, Michael Lohse, Ryan Low

et al.

Nature, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 11, 2024

Language: Английский

Citations

15

Is working memory domain-general or domain-specific? DOI
Nazbanou Nozari, Randi C. Martin

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(11), P. 1023 - 1036

Published: July 16, 2024

Language: Английский

Citations

11

Cell type-specific connectome predicts distributed working memory activity in the mouse brain DOI Creative Commons
Xingyu Ding, Seán Froudist‐Walsh, Jorge Jaramillo

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Jan. 4, 2024

Recent advances in connectomics and neurophysiology make it possible to probe whole-brain mechanisms of cognition behavior. We developed a large-scale model the multiregional mouse brain for cardinal cognitive function called working memory, brain’s ability internally hold process information without sensory input. The is built on mesoscopic connectome data interareal cortical connections endowed with macroscopic gradient measured parvalbumin-expressing interneuron density. found that memory coding distributed yet exhibits modularity; spatial pattern mnemonic representation determined by long-range cell type-specific targeting density classes. Cell graph measures predict activity patterns core subnetwork maintenance. shows numerous attractor states, which are self-sustained internal states (each engaging distinct subset areas). This work provides framework interpret recordings during cognition, while highlighting need connectomics.

Language: Английский

Citations

7

Superior colliculus bidirectionally modulates choice activity in frontal cortex DOI Creative Commons
Alyse M. Thomas, Weiguo Yang, Catherine Wang

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Nov. 14, 2023

Abstract Action selection occurs through competition between potential choice options. Neural correlates of are observed across frontal cortex and downstream superior colliculus (SC) during decision-making, yet how these regions interact to mediate remains unresolved. Here we report that SC can bidirectionally modulate drive activity in cortex. In the mouse, topographically matched formed a descending motor pathway for directional licking re-entrant loop via thalamus. During distinct neuronal populations both encoded opposing lick directions exhibited competitive interactions. GABAergic neurons ipsilateral locally inhibited glutamatergic contralateral choice. Activating or suppressing cell types could These results thus identify as major locus within broader action network.

Language: Английский

Citations

13

Whole‐brain monosynaptic inputs to lateral periaqueductal gray glutamatergic neurons in mice DOI Creative Commons
Wei‐Xiang Ma, Lei Li, Lingxi Kong

et al.

CNS Neuroscience & Therapeutics, Journal Year: 2023, Volume and Issue: 29(12), P. 4147 - 4159

Published: July 9, 2023

Abstract Objective The lateral periaqueductal gray (LPAG), which mainly contains glutamatergic neurons, plays an important role in social responses, pain, and offensive defensive behaviors. Currently, the whole‐brain monosynaptic inputs to LPAG neurons are unknown. This study aims explore structural framework of underlying neural mechanisms neurons. Methods used retrograde tracing systems based on rabies virus, Cre‐LoxP technology, immunofluorescence analysis. Results We found that 59 nuclei projected In addition, seven hypothalamic nuclei, namely area (LH), preoptic (LPO), substantia innominata (SI), medial area, ventral pallidum, posterior globus pallidus, most densely Notably, we discovered through further analysis were colocalized with several markers related neurological functions associated physiological Conclusion received dense projections from hypothalamus, especially such as LH, LPO, SI. input behaviors, show pivotal behaviors regulation by LPAG.

Language: Английский

Citations

11